TÉCNICA REDES NEURAIS ARTIFICIAIS APLICADA NA DETECÇÃO DE ATRITO COM CLIENTES E OPORTUNIDADES DE NOVOS NEGÓCIOS

Christina Testa Marques, R. S. Bôaventura, Keiji Yamanaka
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Abstract

The proposed system can detect the concern with customers before losing them, aiming at the growth and sustainability of the company. This study aims proposes to classify the company's customers into groups with similar profiles. This will allow the company to offer new products to customers in accordance with to the features listed in the group and avoid evasion The proposed system was developed using the technology of artificial neural network model using the Self Organizing Maps network . The neural network model has 55 entries withdrawn from a database composed of 500 customers. 1
人工神经网络技术应用于检测与客户的摩擦和新商机
该系统可以在客户流失之前发现客户的担忧,旨在实现公司的增长和可持续发展。本研究的目的是提出将公司的客户分类为具有相似概况的群体。这将使公司能够根据组中列出的特征向客户提供新产品,避免规避。该系统采用了使用自组织地图网络的人工神经网络模型技术开发。神经网络模型从500个客户组成的数据库中提取了55个条目。1
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